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Combining Inferred Regulatory and Reconstructed Metabolic Networks Enhances Phenotype Prediction in Yeast
Zhuo Wang, Samuel A. Danziger, Benjamin D. Heavner, Shuyi Ma, Jennifer J. Smith, Song Li, Thurston Herricks, Evangelos Simeonidis, Nitin S. Baliga, John D. Aitchison, Nathan D Price
doi: https://doi.org/10.1101/087148
Zhuo Wang
1School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China
2Institute for Systems Biology, Seattle, WA, 98109, USA
Samuel A. Danziger
2Institute for Systems Biology, Seattle, WA, 98109, USA
3Center for Infectious Disease Research, Seattle, WA, 98109, USA
Benjamin D. Heavner
2Institute for Systems Biology, Seattle, WA, 98109, USA
Shuyi Ma
3Center for Infectious Disease Research, Seattle, WA, 98109, USA
Jennifer J. Smith
2Institute for Systems Biology, Seattle, WA, 98109, USA
Song Li
2Institute for Systems Biology, Seattle, WA, 98109, USA
Thurston Herricks
2Institute for Systems Biology, Seattle, WA, 98109, USA
Evangelos Simeonidis
2Institute for Systems Biology, Seattle, WA, 98109, USA
Nitin S. Baliga
2Institute for Systems Biology, Seattle, WA, 98109, USA
John D. Aitchison
2Institute for Systems Biology, Seattle, WA, 98109, USA
3Center for Infectious Disease Research, Seattle, WA, 98109, USA
Nathan D Price
2Institute for Systems Biology, Seattle, WA, 98109, USA
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Posted November 11, 2016.
Combining Inferred Regulatory and Reconstructed Metabolic Networks Enhances Phenotype Prediction in Yeast
Zhuo Wang, Samuel A. Danziger, Benjamin D. Heavner, Shuyi Ma, Jennifer J. Smith, Song Li, Thurston Herricks, Evangelos Simeonidis, Nitin S. Baliga, John D. Aitchison, Nathan D Price
bioRxiv 087148; doi: https://doi.org/10.1101/087148
Combining Inferred Regulatory and Reconstructed Metabolic Networks Enhances Phenotype Prediction in Yeast
Zhuo Wang, Samuel A. Danziger, Benjamin D. Heavner, Shuyi Ma, Jennifer J. Smith, Song Li, Thurston Herricks, Evangelos Simeonidis, Nitin S. Baliga, John D. Aitchison, Nathan D Price
bioRxiv 087148; doi: https://doi.org/10.1101/087148
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